Predicting lessee switch behavior using logit models

Jan Willem Feilzer, Daan Stroosnier, Elenna Dugundji, Thomas Koch*

*Corresponding author for this work

Research output: Contribution to ConferencePaperAcademic


Modeling the mode choice by an individual is a challenging task. In this paper, vehicle choice of lessees is discussed. Prediction of vehicle choice occurs by fitting three different logit models: standard, nested and cross-nested multinomial logistic regression. Both nested and cross-nested logit relax error term distribution assumptions and therefore allow for correlations across alternative vehicle choices. It is shown that allowing for correlation across alternatives is the proper way of modeling lessees' vehicle choice.


Conference12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops

Bibliographical note

Publisher Copyright:
© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (


  • (Cross-)nested logit
  • Auto lease
  • Discrete choice
  • Lessee switch behavior
  • Vehicle choice


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